Greater Madison Area
I am a data scientist with a Master’s degree in Applied Statistics, Analytics & Data Science and a strong passion for applying data, analytics, and AI to real-world healthcare and life sciences problems. I currently work as an Associate Scientist III at Elephas, where I develop data-driven solutions that improve data quality, automate analytical workflows, and deliver actionable insights to scientific and business stakeholders. My experience includes building statistical and machine learning models, developing dashboards, and creating automated data pipelines using Python, R, SQL, and visualization tools such as Power BI and Tableau. I have worked on projects involving experimental data analysis, advanced analytics, and reproducible reporting, always with a focus on clarity, reliability, and impact. I enjoy collaborating across multidisciplinary teams, learning new technologies, and translating complex datasets into insights that support better decision-making. I am particularly interested in applied machine learning, advanced analytics, and emerging AI-driven solutions in healthcare. I’m always open to connecting with professionals in data science, analytics, and healthcare technology.
• Development of patient derived cancer organoids (PDCOs) to predict therapeutic response. • Characterization of PDCOs metabolic response using optical metabolic imaging. • Investigations of EGFR and HER2 targeted resistance with extended dose escalation. • Clinical investigation of pevonedistat efficacy in metastatic colorectal cancer. • Assist graduate students in conducting a variety of colorectal drug treatment studies. • Conducted numerous treatment studies to identify effective chemotherapies and develop new treatment strategies for colorectal cancer. • Acquired several lab skills such as pipetting, 3D cell culture, imaging and effective written and verbal communication. • Executed western blots and qPCRs to determine results.